| Abstract |
In the current implementation of smart citys, Message Oriented Middleware are widely used to realize information exchange between heterogeneous systems. In the process of using the above message middleware, the provider and demander of the message express their interest in publishing and subscribing to the message in a specific topic, and publish and subscribe to the message on the predetermined topic, and do not involve the relevant processing of constraining the spatial scope of the two sides of the message interaction. However, the message middleware used in the smart city CPS system needs to process a large amount of data collected from the physical device in real time, so the use of message middleware that supports spatial scope constraints in the smart city CPS system can achieve accurate interaction control with the physical devices in the smart city space, and control the interaction and feedback range of each message data in a small range, thereby saving network bandwidth. This thesis This paper analyzes the operating mechanism and principle of the currently widely used message middleware. In the comparative analysis of various types of message middleware, it is found that the Kafka message middleware has a high performance in processing massive data and active data. Based on the Kafka message middleware, a space-constrained message middleware model is proposed, and the implementation technology of space constraints is further studied. |
